Examples#
Choose the workflow by its input and output contract. The Supported Models page maps each model family to these contracts.
Text Output#
Text generation: one shared workflow for dense LLM, MoE, VLM, and Omni text output; Phi-4 Multimodal adds the model-specific vision-LoRA merge
Speculative Decoding: MTP, EAGLE3, DFlash, and DSpark acceleration
ASR: audio to transcript text with Qwen3-ASR
Nemotron-3.5-ASR: audio to transcript text with a model-specific RNN-T runtime
Speech Output#
Qwen3-TTS: text, style, language, or reference speech to 24 kHz speech
Qwen3-Omni: text, images, or audio to text and optional 24 kHz speech
Action Output#
Vision-Language-Action: Alpamayo trajectory generation and Cosmos3 policy action generation
Serving and Evaluation#
Experimental Python API and Server: Python and OpenAI-compatible interfaces
NeMo Evaluator: evaluate a local OpenAI-compatible server